BlogsMongoDBSilent Data Corruption Detection and Repair

Silent Data Corruption Detection and Repair

Silent Data Corruption Detection and Repair

1
posts
2024

Introduced software-level techniques for proactively detecting and repairing instances of silent data corruption in MongoDB Atlas. This includes monitoring for checksum failures, identifying corrupt documents using MongoDB indexes and replication, and repairing corruption by leveraging redundant replicas. The system utilizes a data plane and control plane architecture, with a MongoDB Agent in the data plane tailing logs for specific corruption-indicating patterns and reporting high-level metadata to the control plane for analysis without exposing sensitive customer data.

2024

Managing Data Corruption in the Cloud

12/9/2024

Details the implementation of a system to detect and repair silent data corruption in MongoDB Atlas. This involves leveraging checksum validation within the WiredTiger storage engine, identifying corruption through runtime checks of data ordering, and using a two-plane architecture (data plane and control plane) with a MongoDB Agent to monitor logs for corruption signals. The Agent detects specific log patterns indicative of corruption and sends metadata to the control plane for analysis, enabling proactive identification and repair of corrupt data using replica sets.